A Robust Unit Combination Model For Multi-Resource Backup Coordination Optimization Of Source, Network And Storage Is Considered
Yanyan Xu, Peng Shu, Yahui Hou, Pingliang Guo, Shutao Zhang · 2025
The purpose of this study is to address the impact of the high proportion of new energy applications on the operation of traditional power grids and energy storage equipment, a robust unit combination model considering the multi-resource reserve coordination optimization of source-grid-load-storage is proposed. Firstly, the model to which the article belongs is based on the extraction of the characteristics of wind power generation prediction deviation from a time perspective. At the same time, quantile theory is applied to fit the numerical range of wind power generation prediction deviation based on the time perspective, which can better clarify the instability of wind power generation output. Secondly, considering the operational characteristics and reserve capabilities of various resources in the systems source-grid-load-storage, This article takes the daily running period as a case model and improves the robustness of the model through two stages, output, and reserve capacity coordination of all types of resources. This model employs nested column generation algorithms with constraints to solve the problem. Case studies have confirmed the effectiveness and advancement of this model in enhancing system operational flexibility and promoting the consumption of renewable energy, providing practical references and theoretical support for the determination of unit combination and reserve capacity schemes in new power systems under large scale consolidation of new energy.