@article{ZHAO2026, 
author = {Fangliang ZHAO and Hanchen LIU and Meng ZHANG and Liang FAN and Zhiyong WANG and Shuo GAO},
title = {Resilience Enhancement Strategy of Distribution Grid Considering Advanced Adiabatic Compressed Air Energy Storage},
year = {2026},
journal = {Distributed Energy},
volume = {11},
number = {2},
pages = {67-75},
keywords = {advanced adiabatic compressed air energy storage (AA-CAES), extreme natural hazards, resilience enhancement, distributionally robust chance constraints},
url = {https://www.sciopen.com/article/10.16513/j.2096-2185.DE.25100493},
doi = {10.16513/j.2096-2185.DE.25100493},
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.}
}