分布式能源2026，Vol.11Issue(2)：1-10,10.DOI:10.16513/j.2096-2185.DE.25100136
基于分布鲁棒机会约束的水下压缩空气储能优化配置方法
Configuration Optimization Method for Underwater Compressed Air Energy Storage Based on Distributionally Robust Chance Constraints
摘要
Abstract
Underwater compressed air energy storage(UW-CAES),which utilizes flexible underwater air bags to enable constant-pressure charge and discharge,has emerged as a compelling solution for renewable energy accommodation.However,there remains a distinct lack of research focused on parameter optimization to simultaneously reduce the capital costs of UW-CAES and enhance the operational economics of the plant.To address this critical gap,this paper proposes an optimal configuration method for UW-CAES based on distributionally robust chance constraints(DRCC).First,a comprehensive UW-CAES system model is established,explicitly accounting for the impact of pipeline pressure losses on system dynamics.Subsequently,an optimal configuration framework incorporating these pressure losses is formulated to optimize key system parameters,with the dual objectives of minimizing investment costs and maximizing operational revenues.Furthermore,the DRCC approach is employed to reformulate the stochastic chance constraints into tractable linear constraints.This mathematical transformation not only ensures computational efficiency but also facilitates a flexible trade-off between economic optimality and robustness.Case studies demonstrate the efficacy of the proposed methodology:the optimized system maintains a rated discharge power of 60 MW while reducing the required rated charge power to 53.2 MW-an 8.75%decrease compared to the original baseline-thereby significantly improving overall system efficiency.Finally,sensitivity analyses reveal that systematically calibrating the confidence level and Wasserstein radius within the DRCC framework effectively navigates the equilibrium between economic performance and system conservatism.关键词
水下压缩空气储能(UW-CAES)/优化配置/管道压力损失/分布鲁棒机会约束(DRCC)Key words
underwater compressed air energy storage(UW-CAES)/configuration optimization/pipeline pressure loss/distributionally robust chance constraints(DRCC)分类
能源科技引用本文复制引用
黄正,杨毅,吴蔚,陈来军,刘瀚琛,崔森,李士杰..基于分布鲁棒机会约束的水下压缩空气储能优化配置方法[J].分布式能源,2026,11(2):1-10,10.基金项目
中国南方电网有限责任公司科技项目(ZBKJXM20240191) （ZBKJXM20240191）
国家自然科学基金项目(52407115) This work is supported by Science and Technology Project of China Southern Power Grid Co.,Ltd.(No.ZBKJXM20240191)and National Natural Science Foundation of China(No.52407115). （52407115）
