发表机构
King Abdullah University of Science and Technology; AGH University of Krakow; Johns Hopkins University（阿卜杜拉国王科技大学; 克拉科夫AGH科技大学; 约翰斯·霍普金斯大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种基于近端梯度的三层单环迭代协调方法，通过有限信息共享和价格信号实现TSO、DSO与DER聚合器的协同，性能接近集中式且优于顺序参考方法。
AI 中文摘要
分布式能源（DER）的日益集成凸显了在输电系统运营商（TSO）、配电系统运营商（DSO）和聚合器层面进行统一协调的重要性。本文提出了一种在TSO、DSO和DER聚合器之间的协调方法，该方法基于一种透明、可扩展性强且分散化的单环迭代机制，并采用有限的信息共享。该方法实现了相邻层级之间基于价格的迭代协调，其中较高层级实体提供价格信号，较低层级实体则响应期望的功率调度计划。所提方法采用基于近端梯度的迭代协同优化算法，并将其扩展至三层情形，该算法具有近端算法的收敛特性。将所提方法的性能与集中式公式化方法以及基于固定输电层面能源价格的顺序参考公式化方法进行了比较。结果表明，所提出的协调方法所获得的结果非常接近集中式公式化方法的结果，同时相对于顺序参考方法，性能显著提升，尤其是在DER灵活性较高的情形下。
英文摘要
The growing integration of DERs underscores the importance of unified coordination across TSO, DSO, and aggregator levels. This paper proposes a coordination method between TSO, DSOs and DER aggregators, based on a transparent, well-scalable, and decentralized single-loop iterative mechanism with limited information sharing. The approach enables iterative price-based coordination between adjacent levels, where the higher-level entities provide price signals and the lower-level ones respond with desired power schedules. The proposed method uses the proximal-gradient-based iterative co-optimization algorithm extended to a three-level case, which enjoys convergence characteristic of proximal algorithms. The performance of the proposed approach is compared with both a centralized formulation and a sequential reference formulation based on fixed transmission-level energy prices. The results demonstrate that the proposed coordination achieves outcomes very close to those obtained with the centralized formulation, while significantly improving performance relative to the sequential reference, particularly at higher levels of DER flexibility.
DOI：10.1016/j.epsr.2026.113348
