考虑先进绝热压缩空气储能的配电网韧性提升策略OA
Resilience Enhancement Strategy of Distribution Grid Considering Advanced Adiabatic Compressed Air Energy Storage
针对高比例可再生能源接入情形下配电网韧性不足的问题,提出一种考虑先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)的配电网韧性提升策略.构建了 AA-CAES参与电网事故响应的调度模型,并采用基于 Wasserstein距离的分布鲁棒机会约束刻画可再生能源出力的不确定性;在改进的 IEEE 33节点系统上开展仿真试验,验证所提策略的有效性.结果表明:配置 AA-CAES后,系统在应对极端事件时失负荷率显著降低,相较于未配置AA-CAES的场景,在仅增加1.17%调度成本的情况下,失负荷率下降3.84%.结论指出,所提策略有效增强了配电网在灾害扰动下的供电能力,可在小幅提升运行成本的同时显著改善供电可靠性,实现了经济性与韧性的协同优化.
To address the insufficient resilience of distribution networks under high penetration of renewable energy,this paper proposes a resilience enhancement strategy incorporating advanced adiabatic compressed air energy storage(AA-CAES).A dispatch model is formulated in which AA-CAES participates in grid contingency response,and the uncertainty of renewable generation is characterized using distributionally robust chance constraints based on the Wasserstein distance.Simulation tests are conducted on a modified IEEE 33-node system to validate the effectiveness of the proposed strategy.Results show that,with AA-CAES deployed,the loss-of-load rate during extreme events is significantly reduced-decreasing by 3.84%compared to the scenario without AA-CAES,at the cost of only a 1.17%increase in dispatch cost.The study concludes that the proposed strategy effectively enhances the power supply capability of distribution networks under disaster-induced disturbances,achieving coordinated optimization between operational economy and resilience through a modest cost increment and substantial reliability improvement.
赵方亮;刘瀚琛;张猛;樊亮;王志勇;高烁
中国三峡新能源(集团)股份有限公司,北京市 通州区 101199清华大学电机工程与应用电子技术系,北京市 海淀区 100084中国三峡新能源(集团)股份有限公司,北京市 通州区 101199中国三峡新能源(集团)股份有限公司,北京市 通州区 101199中国三峡新能源(集团)股份有限公司,北京市 通州区 101199中国三峡新能源(集团)股份有限公司,北京市 通州区 101199
能源科技
先进绝热压缩空气储能(AA-CAES)极端自然灾害韧性提升分布鲁棒机会约束
advanced adiabatic compressed air energy storage(AA-CAES)extreme natural hazardsresilience enhancementdistributionally robust chance constraints
《分布式能源》 2026 (2)
67-75,9
This work is supported by the Scientific Research Project of China Three Gorges New Energy(Group)Co.,Ltd.(No.15044105). 中国三峡新能源(集团)股份有限公司科研项目(15044105)
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