@Article{ee.2026.088517,
AUTHOR = {Yanhong Ma, Chunhua Li, Jinggeng Gao, Chengjia Bao, Qingquan Lv, Jianmei Zhang, Xiaochun Yang, Xiang Wang},
TITLE = {Two-Stage Proactive Collaborative Defense Scheduling Method for Renewable Energy Base Clusters under Extreme Sandstorm Conditions},
JOURNAL = {Energy Engineering},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/energy/online/detail/28084},
ISSN = {1546-0118},
ABSTRACT = {To address severe uncertainty and operational risks arising from conventional scheduling for large-scale renewable energy base clusters under extreme sandstorm conditions, this paper proposes a two-stage proactive collaborative defense scheduling method considering the spatiotemporal propagation process of extreme sandstorm conditions. First, a multi-dimensional security state assessment model based on G1-CRITIC combined weighting is constructed to quantify the overall operational risk of the system under extreme weather. Second, by integrating the spatial propagation and time-lag characteristics of sandstorms, a joint scenario generation method for multi-base wind and photovoltaic output based on D-Vine Copula is established to characterize the spatiotemporal coupling uncertainty during disaster evolution. Finally, based on the generated spatiotemporal evolution scenarios, the flexibility requirements over multiple future periods are predicted and incorporated into the scheduling decision-making process, and a pre-disaster and intra-disaster two-stage collaborative defense scheduling model is developed. In the pre-disaster stage, multi-step look-ahead chance constraints are employed to reserve bidirectional reserve capacity, while in the intra-disaster stage, flexible resources are dispatched through receding-horizon correction. Simulation verification is conducted on an actual 10-GW-scale renewable energy base cluster in the desert and Gobi region of western China. The results demonstrate that the proposed method can predict the spatiotemporal impact of extreme sandstorm conditions, reduce power export deviation, and enhance the operational security of the system.},
DOI = {10.32604/ee.2026.088517}
}