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Publishing Language: Chinese | Open Access

Resilience Enhancement Strategy of Distribution Grid Considering Advanced Adiabatic Compressed Air Energy Storage

Fangliang ZHAO1Hanchen LIU2( )Meng ZHANG1Liang FAN1Zhiyong WANG1Shuo GAO1
China Three Gorges New Energy (Group) Co., Ltd., Tongzhou District, Beijing 101199, China
Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China
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Abstract

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.

CLC number: TK 02 Document code: A

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Distributed Energy
Pages 67-75

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Cite this article:
ZHAO F, LIU H, ZHANG M, et al. Resilience Enhancement Strategy of Distribution Grid Considering Advanced Adiabatic Compressed Air Energy Storage. Distributed Energy, 2026, 11(2): 67-75. https://doi.org/10.16513/j.2096-2185.DE.25100493

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Received: 15 December 2025
Revised: 30 December 2025
Published: 25 April 2026
© Editorial Department of Distributed Energy Journal 2026. Published by Tsinghua University Press.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).